Michel Tsamados

Deep Random Features for Scalable Interpolation of Spatiotemporal Data

The rapid growth of earth observation systems calls for a scalable approach to interpolate remote-sensing observations. These methods in principle, should acquire more information about the observed field as data grows. Gaussian processes (GPs) are candidate model choices for interpolation. However,…